Nonlinear function parameters optimization implementation by Python programming language

摘要

The article discusses the details of the implementation in the Python programming language of methods for optimizing the parameters of a nonlinear function according to the criterion of the minimum mean-square error in the $N$-dimensional parameter space and the $L$-dimensional argument space. The SymPy module is used to perform symbolic calculations.